Design Issue and Data

Let’s learn more about Design Issue and Data. Logistics network design is a vital strategic decision. It is very important to allocate the customer demand points to warehouses, and allocate products from warehouses to production plants. As companies have become more global, there has been a trend towards outsourcing the logistics function to third-party logistics (3PL) firms, so that manufacturing companies can focus their efforts on their core competencies. Thus, 3PL companies must have the capability to design efficient and effective logistics network so as to add value to their clients’ business.

In successful companies, we see three new models for logistics network design with special focus on the perspective of 3PL companies. The chief objective of these new models is to increase the effectiveness of the resulting network design and the utilization of facilities in the network.

The three models encompass the following areas:

Logistics network design with differentiated delivery lead time,
Logistics network design with price discount, and
Consolidated logistics network design using consolidation hubs.

A new perspective of company that incorporates into logistics network design are, two factor namely delivery lead time and price discount that are usually not considered. This shows that designing network with differentiated delivery lead time can reduce the network cost, while the other shows that combining pricing decision and demand management can result in a network design with higher net profits, combines tactical decision for inventory replenishment policy with strategic decision for consolidated network design. These shows by adding consolidation hubs at suitable locations near to the suppliers, we can leverage on concave cost to reduce the overall network cost.

Network design and inventory replenishment policy simultaneously our findings provide managerial insights into how 3PL companies can and their results to improve their business. Companies design more effective logistic networks to support their clients and is applicable to the order fulfillment business process and managing suppliers for manufacturers.

Companies design a network according to demand classes segmented according to their sensitivity to delivery lead time. This shows that potential network cost savings can be achieved by designing a network with segmented customer demand as compared to a network without segmented demand. For the segmented demand case, the short LT demand customers are served from their local warehouse or a nearby warehouse which can satisfy the delivery lead time requirement; while the long LT demand customers are served directly from the hub which is located further away. In addition, the model explored the multiple facilities grouping method which groups facilities which can serve the same customer location within the short LT requirement. It was shown that multiple facility grouping can reduce the network cost, especially for networks with lower inventory holding cost and high fixed facility cost.